| Abstract The researchers propose a methodology to share, process, and exchange agricultural information among different applications through a Web service. The Web service will be available online and mobile and can be used as a tool for decision-making. Initially, agricultural regions and cartography of the study area were identified. Subsequently, a simulation model of potential yield of pasture and animal behavior by regions and area were designed, respectively. Finally, a Web service, using Amazon Web Services and REST for exchanging information, was developed. Web services in the cloud, enable interoperability using data, mapping information of agricultural regions, simulation models, and protocols for data transfer, thus making available the... |
